MétaCan
Menu
Back to cohort
Record W4415466651 · doi:10.1080/18902138.2025.2575245

Denial is a pipeline in Canada: a feminist critical discourse analysis of Canadian far-right climate obstruction

2025· article· en· W4415466651 on OpenAlexaboutno aff
James H. Swan

Bibliographic record

VenueNORMA · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsDenialHegemonyCritical discourse analysisPoliticsArchetypePower (physics)Discourse analysisFeminism

Abstract

fetched live from OpenAlex

Climate denial and refusal remain central to the ontologies of far-right political projects in many of the countries most responsible for rising temperatures. This article demonstrates how misogyny facilitates the proliferation of obstructionist rhetoric. Specifically, the People’s Party of Canada’s (PPC) climate discourse is analyzed through a feminist lens anchored in Gramscian theorisations of hegemony and masculinity. I find that the PPC articulates a heavily masculinized and topically diverse form of obstruction, simultaneously enacting attributes and ideals of industrial/breadwinner, frontier, petro and (to a lesser extent) ecomodern masculinities. The broadness of the party’s appeals and their affirmation of particularly fragile masculine archetypes are assessed to be deliberate discursive moves constituent of a broader strategy to secure power within the Canadian political landscape via dominant fossil fuel and patriarchal regimes. Ultimately, several strategies for subverting such a tenacious discourse are discussed, including a steadfast commitment to feminist ecological alternatives and an unwavering endorsement of multiculturalist ethics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.143
GPT teacher head0.424
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueNORMASame topicClimate Change Communication and PerceptionFrench-language works237,207